Adoption intention in GSS: relative importance of beliefs
ACM SIGMIS Database - Special double issue: diffusion of technological innovation
The Effects of Free Sample Promotions on Incremental Brand Sales
Marketing Science
Examining the technology acceptance model using physician acceptance of telemedicine technology
Journal of Management Information Systems - Special section: Strategic and competitive information systems
A meta-analysis of the technology acceptance model
Information and Management
Designing free software samples: a game theoretic approach
Information Technology and Management
Culture, gender and information technology use: A comparison of Chinese and US children
Computers in Human Behavior
Is There an On-line Advertisers' Dilemma? A Study of Click Fraud in the Pay-Per-Click Model
International Journal of Electronic Commerce
E-file adoption: A study of U.S. taxpayers' intentions
Computers in Human Behavior
The moderating effects of gender on e-commerce systems adoption factors: An empirical investigation
Computers in Human Behavior
Gender differences in adoption of information systems: New findings from China
Computers in Human Behavior
Computers in Human Behavior
m-Brand loyalty and post-adoption variations for the mobile data services: Gender differences
Computers in Human Behavior
Computer based assessment: Gender differences in perceptions and acceptance
Computers in Human Behavior
Towards an understanding of the behavioural intention to use a web site
International Journal of Information Management: The Journal for Information Professionals
Optimal Software Free Trial Strategy: The Impact of Network Externalities and Consumer Uncertainty
Information Systems Research
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Offering free trials can be an effective strategy to promote the diffusion of technology-based services. However, few studies have focused on the adoption of free trials toward technology-based services. This study examined the antecedents of consumer attitude and intention toward free trial of technology-based services under the framework of the technology acceptance model (TAM). The proposed model was tested by using the Partial Least Squares (PLS) technique. Results indicate that perceived usefulness, perceived ease of use, perceived risk and social influence are some of the important determinant factors. In addition, significant differences exist between female and male consumers.